Hospitalized patients frequently exhibit subtle warning signs before experiencing life-threatening health problems, and while physicians and nurses are highly skilled to detect this deterioration, earlier detection allows the care team the additional time to intervene more successfully.

PeraHealth solutions, powered by the peer-reviewed Rothman Index (RI), fill the need for patient data interpretation and identifying trends by automatically aggregating data from any EHR system, and translating it into an easy-to-read, color-coded RI score. Find out more during the following presentation at AONE:

WHAT: The presentation, entitled, “Reducing Mortality with an Early Warning System,” draws on Houston Methodist’s use of predictive, real-time clinical surveillance solutions and early detection warnings, and details how clinicians identified more at-risk patients sooner for earlier intervention

Additional details on Houston Methodist’s use of PeraHealth’s solutions will be highlighted, as well as how organizations can select an early warning system (EWS) most appropriate for its current clinical population and how nurses can drive the reduction in mortality through the implementation of an EWS.

WHY: Recently awarded as the leading oral presentation at the Institution for Healthcare Improvement’s 2016 Annual International Scientific Symposium on Improving the Quality and Value of Health Care, Houston Methodist’s presentation highlights how the complexities of hospitalization impact a nurse’s ability to assimilate multiple data elements quickly enough to identify early patient deterioration.